Kazuyuki Hara - researchr alias

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Viewing Publication 1 - 23 from 23

2022

Theoretical Analysis of the SIRVVD Model for Insights Into the Target Rate of COVID-19/SARS-CoV-2 Vaccination in JapanYuto Omae, Makoto Sasaki, Jun Toyotani, Kazuyuki Hara, Hirotaka Takahashi. access, 10:43044-43054, 2022. [doi]

2021

Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent SimulationYuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi. jaciii, 25(6):931-943, 2021. [doi]

2020

Performance of Pre-Learned Convolution Neural Networks Applied to Recognition of Overlapping DigitsKazuyuki Hara, Daigo Shii, Ryosuke Miyoshi. bigcomp 2020: 113-116 [doi]

2016

Analysis of Dropout Learning Regarded as Ensemble LearningKazuyuki Hara, Daisuke Saitoh, Hayaru Shouno. icann 2016: 72-79 [doi]

Group Dropout Inspired by Ensemble LearningKazuyuki Hara, Daisuke Saitoh, Takumi Kondou, Satoshi Suzuki, Hayaru Shouno. iconip 2016: 66-73 [doi]

2015

Analysis of function of rectified linear unit used in deep learningKazuyuki Hara, Daisuke Saito, Hayaru Shouno. ijcnn 2015: 1-8 [doi]

Mutual Learning Using Nonlinear PerceptronDaisuke Saitoh, Kazuyuki Hara. jaiscr, 5(1):71, 2015. [doi]

2014

Soft Committee Machine Using Simple Derivative TermKazuyuki Hara, Kentaro Katahira. icaisc 2014: 59-66 [doi]

Improving the Convergence Property of Soft Committee Machines by Replacing Derivative with Truncated Gaussian FunctionKazuyuki Hara, Kentaro Katahira. icann 2014: 499-506 [doi]

Mutual learning using nonlinear perceptronDaisuke Saitoh, Kazuyuki Hara. scisisis 2014: 1091-1095 [doi]

2012

Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent LearningKazuyuki Hara, Kentaro Katahira, Kazuo Okanoya, Masato Okada. icann 2012: 9-16 [doi]

2011

Ensemble-Teacher Learning through a Perceptron Rule with a MarginKazuyuki Hara, Seiji Miyoshi. icann 2011: 363-370 [doi]

2010

On-Line Ensemble-Teacher Learning through a Perceptron Rule with a MarginKazuyuki Hara, Katsuya Ono, Seiji Miyoshi. icann 2010: 339-344 [doi]

2009

Mutual Learning with Many Linear Perceptrons: On-Line Learning TheoryKazuyuki Hara, Yoichi Nakayama, Seiji Miyoshi, Masato Okada. icann 2009: 171-180 [doi]

2008

Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type InteractionKazuyuki Hara, Seiji Miyoshi, Tatsuya Uezu, Masato Okada. iconip 2009: 195-202 [doi]

2005

Analysis of ensemble learning using simple perceptrons based on on-line learning theorySeiji Miyoshi, Kazuyuki Hara, Masato Okada. scjapan, 36(12):63-74, 2005. [doi]

2004

Online learning of a simple perceptron learning with marginKazuyuki Hara, Masato Okada. scjapan, 35(7):98-105, 2004. [doi]

On-line learning through simple perceptron learning with a marginKazuyuki Hara, Masato Okada. NN, 17(2):215-223, 2004. [doi]

2000

A Training Method with Small Computation for ClassificationKazuyuki Hara, Kenji Nakayama. ijcnn 2000: 543-548 [doi]

1997

A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input SequenceAshraf A. M. Khalaf, Kenji Nakayama, Kazuyuki Hara. icann 1997: 1047-1052

1996

Selection of minimum training data for generalization and online training by multilayer neural networksKazuyuki Hara, Kenji Nakayama. icnn 1996: 436-441 [doi]

1995

Signal classification based on frequency analysis using multilayer neural network with limited data and computationKazuyuki Hara, Kenji Nakayama. icnn 1995: 600-605 [doi]

1983

Relational Data Base Systems INQ and RIOSKazuyuki Hara, Tatsuo Gotoh, Tsuyoshi Miyazaki, Ken Takeuchi, Shigeru Mabuchi. DEBU, 6(1):22-28, 1983. [doi]

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